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9780521791922

Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels

by
  • ISBN13:

    9780521791922

  • ISBN10:

    0521791928

  • Edition: 1st
  • Format: Hardcover
  • Copyright: 2009-08-31
  • Publisher: Cambridge University Press

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Summary

Machine learning methods originated from artificial intelligence and are now used in various fields in environmental sciences today. This is the first single-authored textbook providing a unified treatment of machine learning methods and their applications in the environmental sciences. Due to their powerful nonlinear modelling capability, machine learning methods today are used in satellite data processing, general circulation models(GCM), weather and climate prediction, air quality forecasting, analysis and modelling of environmental data, oceanographic and hydrological forecasting, ecological modelling, and monitoring of snow, ice and forests. The book includes end-of-chapter review questions and an appendix listing web sites for downloading computer code and data sources. A resources website containing datasets for exercises, and password-protected solutions are available. The book is suitable for first-year graduate students and advanced undergraduates. It is also valuable for researchers and practitioners in environmental sciences interested in applying these new methods to their own work.

Table of Contents

Preface
Basic notions in classical data analysis
Linear multivariate statistical analysis
Basic time series analysis
Feed-forward neural network models
Nonlinear optimization
Learning and generalization
Kernel methods
Nonlinear classification
Nonlinear regression
Nonlinear principal component analysis
Nonlinear canonical correlation analysis
Applications in environmental sciences
Sources for data and codes
Lagrange multipliers
Bibliography
Index
Table of Contents provided by Publisher. All Rights Reserved.

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